2016
DOI: 10.1016/j.sigpro.2015.07.016
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A time-variant filtering approach for non-stationary random signals based on the fractional convolution

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Cited by 5 publications
(1 citation statement)
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“…Shift operation has also been used in optical systems; for instance, shift operation is utilized at the input plane of the joint transform correlator (JTC) architecture in order to place two non-overlapping data distributions side-by-side [7,8]. The usual shift, convolution and correlation operators have been defined using the fractional Fourier transform [9,10] and these fractional operators were applied to the sampling theorem for fractional bandlimited signal [11], time-variant filtering for non-stationary random signals [12] and prediction, interpolation and filtering of α-stationary random signals [13], where α is the fractional order of the fractional Fourier transform [10].…”
Section: Introductionmentioning
confidence: 99%
“…Shift operation has also been used in optical systems; for instance, shift operation is utilized at the input plane of the joint transform correlator (JTC) architecture in order to place two non-overlapping data distributions side-by-side [7,8]. The usual shift, convolution and correlation operators have been defined using the fractional Fourier transform [9,10] and these fractional operators were applied to the sampling theorem for fractional bandlimited signal [11], time-variant filtering for non-stationary random signals [12] and prediction, interpolation and filtering of α-stationary random signals [13], where α is the fractional order of the fractional Fourier transform [10].…”
Section: Introductionmentioning
confidence: 99%